IDEAS home Printed from https://ideas.repec.org/a/gam/jijerp/v19y2022i15p9450-d878078.html
   My bibliography  Save this article

Effects of the Digital Economy on Carbon Emissions: Evidence from China

Author

Listed:
  • Zhichuan Zhu

    (School of Economics, Liaoning University, Shenyang 110136, China
    School of Mathematics and Statistics, Liaoning University, Shenyang 110031, China)

  • Bo Liu

    (School of Economics, Liaoning University, Shenyang 110136, China)

  • Zhuoxi Yu

    (School of Economics, Liaoning University, Shenyang 110136, China
    School of Mathematics and Statistics, Liaoning University, Shenyang 110031, China)

  • Jianhong Cao

    (School of Business and Economics, Universit Putra Malaysia, Serdang 43400, Malaysia)

Abstract

In order to reduce carbon emissions for sustainable development, we analyzed the impact of China’s digital economy development on carbon emissions. Based on the panel data of 30 Chinese provinces from 2009 to 2019, we measured the level of development of China’s digital economy using the entropy method. The relationship between the digital economy and carbon emissions was analyzed from multiple perspectives with the help of the fixed-effects model, the mediated-effects model and the spatial econometric model. The results indicate that the digital economy plays a significant inhibitory role in carbon emissions. In addition, the digital economy inhibits carbon emissions through the innovation effect and the industrial structure upgrading effect. Moreover, the digital economy exhibits a significant spatial spillover effect in dampening carbon emissions. Finally, there is regional heterogeneity in the direct and spatial spillover effect. The findings provide a basis for the digital economy to contribute to carbon emissions reduction and provide relevant policy references for achieving carbon neutrality and sustainable development.

Suggested Citation

  • Zhichuan Zhu & Bo Liu & Zhuoxi Yu & Jianhong Cao, 2022. "Effects of the Digital Economy on Carbon Emissions: Evidence from China," IJERPH, MDPI, vol. 19(15), pages 1-21, August.
  • Handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9450-:d:878078
    as

    Download full text from publisher

    File URL: https://www.mdpi.com/1660-4601/19/15/9450/pdf
    Download Restriction: no

    File URL: https://www.mdpi.com/1660-4601/19/15/9450/
    Download Restriction: no
    ---><---

    References listed on IDEAS

    as
    1. Zihanxin Li & Nuoyan Li & Huwei Wen, 2021. "Digital Economy and Environmental Quality: Evidence from 217 Cities in China," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    2. Paunov, Caroline & Rollo, Valentina, 2016. "Has the Internet Fostered Inclusive Innovation in the Developing World?," World Development, Elsevier, vol. 78(C), pages 587-609.
    3. R. Pace & James LeSage, 2009. "A sampling approach to estimate the log determinant used in spatial likelihood problems," Journal of Geographical Systems, Springer, vol. 11(3), pages 209-225, September.
    4. Sheng, Pengfei & Li, Jun & Zhai, Mengxin & Huang, Shoujun, 2020. "Coupling of economic growth and reduction in carbon emissions at the efficiency level: Evidence from China," Energy, Elsevier, vol. 213(C).
    5. Dong, John Qi & Netten, Jork, 2017. "Information technology and external search in the open innovation age: New findings from Germany," Technological Forecasting and Social Change, Elsevier, vol. 120(C), pages 223-231.
    6. Liu, Jun & Chang, Huihong & Forrest, Jeffrey Yi-Lin & Yang, Baohua, 2020. "Influence of artificial intelligence on technological innovation: Evidence from the panel data of china's manufacturing sectors," Technological Forecasting and Social Change, Elsevier, vol. 158(C).
    7. Wang, Zhaohua & Sun, Yefei & Wang, Bo, 2019. "How does the new-type urbanisation affect CO2 emissions in China? An empirical analysis from the perspective of technological progress," Energy Economics, Elsevier, vol. 80(C), pages 917-927.
    8. Zeng, Chen & Stringer, Lindsay C. & Lv, Tianyu, 2021. "The spatial spillover effect of fossil fuel energy trade on CO2 emissions," Energy, Elsevier, vol. 223(C).
    9. Ren, Siyu & Hao, Yu & Xu, Lu & Wu, Haitao & Ba, Ning, 2021. "Digitalization and energy: How does internet development affect China's energy consumption?," Energy Economics, Elsevier, vol. 98(C).
    10. Lee, Lung-fei & Yu, Jihai, 2014. "Efficient GMM estimation of spatial dynamic panel data models with fixed effects," Journal of Econometrics, Elsevier, vol. 180(2), pages 174-197.
    11. Avom, Désiré & Nkengfack, Hilaire & Fotio, Hervé Kaffo & Totouom, Armand, 2020. "ICT and environmental quality in Sub-Saharan Africa: Effects and transmission channels," Technological Forecasting and Social Change, Elsevier, vol. 155(C).
    12. Shahbaz, Muhammad & Raghutla, Chandrashekar & Song, Malin & Zameer, Hashim & Jiao, Zhilun, 2020. "Public-private partnerships investment in energy as new determinant of CO2 emissions: The role of technological innovations in China," Energy Economics, Elsevier, vol. 86(C).
    13. Long, Xingle & Chen, Yaqiong & Du, Jianguo & Oh, Keunyeob & Han, Insoo, 2017. "Environmental innovation and its impact on economic and environmental performance: Evidence from Korean-owned firms in China," Energy Policy, Elsevier, vol. 107(C), pages 131-137.
    14. Yang, Yuan & Cai, Wenjia & Wang, Can, 2014. "Industrial CO2 intensity, indigenous innovation and R&D spillovers in China’s provinces," Applied Energy, Elsevier, vol. 131(C), pages 117-127.
    15. Quibria, M. G. & Ahmed, Shamsun N. & Tschang, Ted & Reyes-Macasaquit, Mari-Len, 2003. "Digital divide: determinants and policies with special reference to Asia," Journal of Asian Economics, Elsevier, vol. 13(6), pages 811-825, January.
    16. Xiaoyan Li & Jia Liu & Peijie Ni, 2021. "The Impact of the Digital Economy on CO 2 Emissions: A Theoretical and Empirical Analysis," Sustainability, MDPI, vol. 13(13), pages 1-15, June.
    17. Bauer, Johannes M., 2018. "The Internet and income inequality: Socio-economic challenges in a hyperconnected society," Telecommunications Policy, Elsevier, vol. 42(4), pages 333-343.
    18. Zhou, Xiaoyong & Zhou, Dequn & Wang, Qunwei & Su, Bin, 2019. "How information and communication technology drives carbon emissions: A sector-level analysis for China," Energy Economics, Elsevier, vol. 81(C), pages 380-392.
    19. Zhang, Xi & Geng, Yong & Shao, Shuai & Wilson, Jeffrey & Song, Xiaoqian & You, Wei, 2020. "China’s non-fossil energy development and its 2030 CO2 reduction targets: The role of urbanization," Applied Energy, Elsevier, vol. 261(C).
    20. Li, Jie & Wu, Yu & Xiao, Jing Jian, 2020. "The impact of digital finance on household consumption: Evidence from China," Economic Modelling, Elsevier, vol. 86(C), pages 317-326.
    21. Tomiwa Sunday Adebayo & Abraham Ayobamiji Awosusi & Jamiu Adetola Odugbesan & Gbenga Daniel Akinsola & Wing-Keung Wong & Husam Rjoub, 2021. "Sustainability of Energy-Induced Growth Nexus in Brazil: Do Carbon Emissions and Urbanization Matter?," Sustainability, MDPI, vol. 13(8), pages 1-21, April.
    22. Yaya Su & Zhenghui Li & Cunyi Yang, 2021. "Spatial Interaction Spillover Effects between Digital Financial Technology and Urban Ecological Efficiency in China: An Empirical Study Based on Spatial Simultaneous Equations," IJERPH, MDPI, vol. 18(16), pages 1-27, August.
    23. Yi, Ming & Wang, Yiqian & Sheng, Mingyue & Sharp, Basil & Zhang, Yao, 2020. "Effects of heterogeneous technological progress on haze pollution: Evidence from China," Ecological Economics, Elsevier, vol. 169(C).
    24. Knapp, Tom & Mookerjee, Rajen, 1996. "Population growth and global CO2 emissions : A secular perspective," Energy Policy, Elsevier, vol. 24(1), pages 31-37, January.
    25. Sorrell, Steve & Dimitropoulos, John & Sommerville, Matt, 2009. "Empirical estimates of the direct rebound effect: A review," Energy Policy, Elsevier, vol. 37(4), pages 1356-1371, April.
    Full references (including those not matched with items on IDEAS)

    Most related items

    These are the items that most often cite the same works as this one and are cited by the same works as this one.
    1. Yun, Na, 2024. "Resources curse via natural resources utilization: Linking digitalization and resources markets for economy perspective," Resources Policy, Elsevier, vol. 90(C).
    2. Jinlin Li & Litai Chen & Ying Chen & Jiawen He, 2022. "Digital economy, technological innovation, and green economic efficiency—Empirical evidence from 277 cities in China," Managerial and Decision Economics, John Wiley & Sons, Ltd., vol. 43(3), pages 616-629, April.
    3. Lin, Boqiang & Huang, Chenchen, 2023. "How will promoting the digital economy affect electricity intensity?," Energy Policy, Elsevier, vol. 173(C).
    4. Rongwu Zhang & Wenqiang Fu & Yingxu Kuang, 2022. "Can Digital Economy Promote Energy Conservation and Emission Reduction in Heavily Polluting Enterprises? Empirical Evidence from China," IJERPH, MDPI, vol. 19(16), pages 1-21, August.
    5. Zihanxin Li & Nuoyan Li & Huwei Wen, 2021. "Digital Economy and Environmental Quality: Evidence from 217 Cities in China," Sustainability, MDPI, vol. 13(14), pages 1-20, July.
    6. Wang, Ke-Liang & Sun, Ting-Ting & Xu, Ru-Yu & Miao, Zhuang & Cheng, Yun-He, 2022. "How does internet development promote urban green innovation efficiency? Evidence from China," Technological Forecasting and Social Change, Elsevier, vol. 184(C).
    7. Xuefeng Hou & Dianfeng Zhang & Liyuan Fu & Fu Zeng & Qing Wang, 2023. "Spatio-Temporal Evolution and Influencing Factors of Coupling Coordination Degree between Urban–Rural Integration and Digital Economy," Sustainability, MDPI, vol. 15(12), pages 1-26, June.
    8. Lee, Chien-Chiang & Wang, Fuhao, 2022. "How does digital inclusive finance affect carbon intensity?," Economic Analysis and Policy, Elsevier, vol. 75(C), pages 174-190.
    9. Huang, Junbing & Li, Xinghao & Wang, Yajun & Lei, Hongyan, 2021. "The effect of energy patents on China's carbon emissions: Evidence from the STIRPAT model," Technological Forecasting and Social Change, Elsevier, vol. 173(C).
    10. Zhao, Haoran & Guo, Sen, 2023. "Analysis of the non-linear impact of digital economy development on energy intensity: Empirical research based on the PSTR model," Energy, Elsevier, vol. 282(C).
    11. Pan, Minjie & Zhao, Xin & lv, Kangjuan & Rosak-Szyrocka, Joanna & Mentel, Grzegorz & Truskolaski, Tadeusz, 2023. "Internet development and carbon emission-reduction in the era of digitalization: Where will resource-based cities go?," Resources Policy, Elsevier, vol. 81(C).
    12. Wang, Jianda & Dong, Kangyin & Dong, Xiucheng & Taghizadeh-Hesary, Farhad, 2022. "Assessing the digital economy and its carbon-mitigation effects: The case of China," Energy Economics, Elsevier, vol. 113(C).
    13. Wang, Qingxi & Hu, An & Tian, Zhihua, 2022. "Digital transformation and electricity consumption: Evidence from the Broadband China pilot policy," Energy Economics, Elsevier, vol. 115(C).
    14. Zhongxin Ma & Fenglan Wu, 2022. "Smart City, Digitalization and CO 2 Emissions: Evidence from 353 Cities in China," Sustainability, MDPI, vol. 15(1), pages 1-21, December.
    15. Cheng, Xiaoqiang & Yao, Dingjun & Qian, Yuanyuan & Wang, Bin & Zhang, Deliang, 2023. "How does fintech influence carbon emissions: Evidence from China's prefecture-level cities," International Review of Financial Analysis, Elsevier, vol. 87(C).
    16. Xueyang Wang & Xiumei Sun & Haotian Zhang & Mahmood Ahmad, 2022. "Digital Economy and Environmental Quality: Insights from the Spatial Durbin Model," IJERPH, MDPI, vol. 19(23), pages 1-23, December.
    17. Ma, Dan & Zhu, Qing, 2022. "Innovation in emerging economies: Research on the digital economy driving high-quality green development," Journal of Business Research, Elsevier, vol. 145(C), pages 801-813.
    18. Shuming Ren & Lianqing Li & Yueqi Han & Yu Hao & Haitao Wu, 2022. "The emerging driving force of inclusive green growth: Does digital economy agglomeration work?," Business Strategy and the Environment, Wiley Blackwell, vol. 31(4), pages 1656-1678, May.
    19. Junhong Qu & Xiaoli Hao, 2022. "Digital Economy, Financial Development, and Energy Poverty Based on Mediating Effects and a Spatial Autocorrelation Model," Sustainability, MDPI, vol. 14(15), pages 1-24, July.
    20. Zhenxiang Cao & Liqing Peng, 2023. "The Impact of Digital Economics on Environmental Quality: A System Dynamics Approach," SAGE Open, , vol. 13(4), pages 21582440231, December.

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:gam:jijerp:v:19:y:2022:i:15:p:9450-:d:878078. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    If CitEc recognized a bibliographic reference but did not link an item in RePEc to it, you can help with this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: MDPI Indexing Manager (email available below). General contact details of provider: https://www.mdpi.com .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.